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Interferon regulatory factor 4 dictates metabolic flexibility of fat versus muscle loss during repeated intermittent fasting

2023· article· en· W4378674956 on OpenAlexaffabout
Daniel M. Marko, Breanne T McAlpin, Brittany M. Duggan, Joseph F. Cavallari, Jonathan D. Schertzer

Bibliographic record

VenuePhysiology · 2023
Typearticle
Languageen
FieldMedicine
TopicDietary Effects on Health
Canadian institutionsMcMaster University
Fundersnot available
KeywordsEndocrinologyInternal medicineAdipocyteIntermittent fastingWhite adipose tissueAdipose tissueKnockout mouseLipolysisBiologyIRF4Transcription factorMedicineBiochemistryReceptor

Abstract

fetched live from OpenAlex

Interferon regulatory factor 4 (IRF4) is a transcription factor that regulates the proliferation, differentiation, and metabolism of immune cells, such as macrophages and T cells. Recently, IRF4 has been shown to regulate lipolysis in adipocytes and increases in visceral human adipose tissue and murine white adipose tissue during acute fasting. However, it was unknown how IRF4 influences metabolic responses to repeated intermittent fasting. We hypothesized that blunted lipolysis, caused by Irf4 deletion, would promote altered metabolic substrate selection, specifically amino acids from muscle as opposed to fatty acids and glycerol from fat, to maintain energy homeostasis during repeated fasting in mice. Littermate whole body and adipocyte specific Irf4 knockout mice were placed on a 45% kcal from fat diet and either left to consume food ad-libitum or put on a 5:2 repeated fasting protocol for 10 weeks, which consisted of two 24-hour fast periods on non-consecutive days of the week. Body composition measures, using MRI, showed that littermate wild type mice lost more body and fat mass compared to Irf4 knockout mice during the fasting protocol. In line with our hypothesis, Irf4 knockout mice lost significantly more lean mass compared to wild-type mice. In conjunction with our MRI data, the Irf4 knockout mice had lower hindlimb, tibialis anterior muscle mass along with higher gonadal and inguinal white adipose tissue mass after the fasting protocol compared to the wild type mice. Additionally, we found that adipocyte-specific deletion of Irf4 recapitulated these effects on muscle and fat mass during intermittent fasting. We then used metabolic cages to examine energy expenditure and fuel oxidation. Complementary to our previous data, adipocyte-specific Irf4 knockout mice had lower fatty acid oxidation and higher carbohydrate oxidation rates compared to the wild type mice. Since adipocyte-specific Irf4 knockout mice have blunted lipolysis and lower fatty acid oxidation rates, our data suggests that another metabolic fuel source, specifically muscle protein, is being used to maintain energy homeostasis during fasting. Collectively, our data highlights a novel metabolic role for IRF4 in mediating fasting-dependent changes in body composition, specifically the balance between fat and muscle mass during repeated intermittent fasting. CIHR, NSERC, CFI, and Diabetes Canada This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.916
Threshold uncertainty score0.708

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.053
GPT teacher head0.334
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes2
Has abstractyes

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